An application of neural networks to the assessment of properties within a segment of residential market of Bari

Over the last decade, social, economic and fiscal factors have produced structural modifications of the Italian real estate market, that currently appears as a complex system characterized by continuous transformation. In this context, the use of tools for the forecast of real estate values has become essential for sector operators (buyers, sellers, institutions, insurance companies, banks, etc.). Analysing a sample of residential properties recently sold within the real estate market of Bari, the aim of this paper is to test the artificial neural networks for the construction of evaluation models